Headerbild Industrial Internet of Things (IIoT)

Industrial Internet of Things

Whether in industry, urban planning or in the private sphere: The Internet of Things makes our lives easier.

Whether in industry, urban planning or in the private sphere: The Internet of Things makes our lives easier. Objects are being turned into smart objects that communicate with each other and can perform intelligent actions. For example, the fully automatic machine at home brews our coffee on demand, and city traffic lights automatically switch from red to green depending on the traffic situation.

The digitalization of industrial production saves companies time and money. In smart factories, machines are networked via IoT sensors and microcontrollers. With predictive maintenance, it is possible to forecast malfunctions and minimize or avoid downtime. Read here about our expertise in the Internet of Things - our experts are on hand to provide you with competent advice on your concerns.

Use cases our customers deal with:

  • Pay-per-X business models of plants and machine manufacturers that require interoperable data worlds for advanced analytics and billing
  • Optimized plant utilization through temporary leasing of excess capacity and monitoring & billing of the business through data collection of all production steps
  • Flexibilization of plant & machine maintenance through interoperable data evaluation of maintenance states and minimization of downtimes in overall production
  • Optimization of manufacturing processes through interoperable data between heterogeneous machines in a line, so that the coordination of the individual stations in the shop floor can be made more flexible
  • Predictive analysis of real-time data in series production to reduce the costs of downstream quality assurance
  • Flexible adaptation of production processes through online integration of business planning applications with store floor data
  • Real-time integration of hybrid data worlds in manufacturing execution systems and production-accompanying quality assurance for safeguarding and controlling production processes

Data integration – the basis for digitization and IoT

One of the most striking features of ongoing digitization is the rapid increase in data. A key driver of this development is the Internet of Things. Data integration is a prerequisite for bringing order to information and using it profitably.

Often, companies have a wealth of data but don't quite know how to make use of it. Information from a multitude of different systems is available in different formats - the task is to cast this information into a uniform information system using the means of data integration and thus ensure its consistency. This process involves collecting the data, converting it into a uniform format and storing it, for example in a data warehouse or data lake. Now they are available for further analyses and can be used for business intelligence, prescriptive analytics or predictive analytics, among other things.

Data integration is an essential factor for the Industrial Internet of Things, IIoT for short, in the course of which machines, systems and software are networked and communicate with each other. Based on the integrated data obtained, it is possible to make intelligent decisions and automate and accelerate processes. The elimination of time-consuming data maintenance and consolidation saves time and money.

Horizontal & vertical integration

Basically, a distinction is made between two forms of data integration. Horizontal integration refers to the integration of data from systems or applications at one hierarchical level, for example sensor data from different machines. Vertical integration in turn describes the integration of data from different hierarchical levels, for example the strategic and operational levels.

Internet of Things (IoT) gateways – between physical and digital reality

Internet of Things (IoT)-Gateways

IoT gateways are essential for networking different IoT systems with each other – be it machines, plants or other devices. Sensor data is aggregated and passed on to higher-level systems for further processing. In a sense, they represent the gateway between physical and digital reality.

Information is extracted from the data. With the help of analytics and artificial intelligence, coupled with the wealth of experience of your production experts, it is possible to generate knowledge that supports the optimization of your processes in near real time.

Open Integration Hub Plus – Industrial interoperability for medium-sized businesses

IIoI & Open Integration Hub
X-INTEGRATE is a partner in the Open Integration Hub Plus (OIHplus) project. The project aims to develop an open digitalization platform for small and medium-sized enterprises (SMEs) for production monitoring and optimization. The interoperability of industrial data - especially of machines and process data - is the focus of OIHplus.
Learn more

ZuPro2Flex – Flexibility with pay-per-X business models

The German Federal Ministry of Education and Research (BMBF) has launched the project "Condition Assessment and Process Assistance for Useful Life-Based Business Models to Increase Flexibility in Production" (ZuPro2Flex for short). The aim is to provide machine builders with a deployment method for digitization solutions. X-INTEGRATE is on board as a project partner and supports in the research on pay-per-X business models.
Learn more

Wissen 4/14/23

Exceptionally user-friendly thanks to SAP Fiori

The user-friendliness of an operational application determines to a large extent whether the process associated with the application is successfully used and implemented in the company. This applies in particular to idea and innovation management programs that rely on the motivation and participation of employees.
Felss Logo
Referenz

Quality scoring with predictive analytics models

Felss Systems GmbH relies on a specially developed predictive analytics method from X-INTEGRATE. With predictive scoring and automation, the efficiency of industrial machinery is significantly increased.
Headerbild zu Talend Real-Time Big Data Platform
Technologie

Talend Real-Time Big Data Platform

Talend Big Data Platform simplifies complex integrations so you can successfully use Big Data with Apache Spark, Databricks, AWS, IBM Watson, Microsoft Azure, Snowflake, Google Cloud Platform and NoSQL.
Blog 12/7/22

State of Fast Feedback in Data Science Projects

DSML projects can be quite different from the software projects: a lot of R&D in a rapidly evolving landscape, working with data, distributions and probabilities instead of code. However, there is one thing in common: iterative development process matters a lot.
Headerbild zu Digitale Planung, Forecasting und Optimierung
Service

Demand Planning, Forecasting and Optimization

After the data has been prepared and visualized via dashboards and reports, the task is now to use the data obtained accordingly. Digital planning, forecasting and optimization describes all the capabilities of an IT-supported solution in the company to support users in digital analysis and planning.

News

Proof-of-Value Workshop

Today's businesses need data integration solutions that offer open, reusable standards and a complete, innovative portfolio of data capabilities. Apply for one of our free workshops!
Releasewechsel eines eingesetzten IAM-Tools
Referenz

Release change of a deployed IAM tool

TIMETOACT received the order to carry out a major release change for the IAM tool used and to develop the processes back to the standard of the product as far as possible. At the same time, a change of service provider became necessary, which meant that all components of the IAM had to be moved to a new data center.
Führender Atlassian-Champion STAGIL wird Teil der Timetoact Group
News 7/6/23

Leading Atlassian Champion: STAGIL becomes part of TIMETOACT

TIMETOACT GROUP, a leading provider of IT services for upper mid-sized companies, corporations and public institutions, acquires STAGIL, one of Germany's largest Atlassian Platinum and Enterprise Solution Partners: With this acquisition, TIMETOACT GROUP's Atlassian consulting portfolio, which is managed under the catworkx brand, moves up into the top league in the German-speaking region. The former STAGIL managing director Björn Frauen becomes co-managing director of catworkx Germany in the course of the merger. He will also become a shareholder in TIMETOACT GROUP. The parties have agreed not to disclose details of the transaction.

Kompetenz

Digitalization and optimization in the manufacturing industr

The TIMETOACT GROUP is a leading provider of solutions for the manufacturing industry.

Navigationsbild zu Data Science
Service

Data Science, Artificial Intelligence and Machine Learning

For some time, Data Science has been considered the supreme discipline in the recognition of valuable information in large amounts of data. It promises to extract hidden, valuable information from data of any structure.

News 2/21/24

Trustbit becomes part of TIMETOACT GROUP

TIMETOACT GROUP, a leading provider of IT services for medium-sized businesses, corporations and public institutions, is acquiring Trustbit, an experienced Austrian consulting firm focused on digital transformation and the development of digital business models.
Data Science & Advanced Analytics
Kompetenz 9/3/20

Data Science, AI & Advanced Analytics

Data Science & Advanced Analytics includes a wide range of tools that can examine business processes, help drive change and improvement.
Headerbild Talend Data Integration
Technologie

Talend Data Integration

Talend Data Integration offers a highly scalable architecture for almost any application and any data source - with well over 900 connectors from cloud solutions like Salesforce to classic on-premises systems.
Referenz

Introduction of Jira to Hamburger Hochbahn

The Hamburger Hochbahn AG controls the development of its new mobility platform "Switchh" via the Atlassian project management tool Jira – introduced, administered and hosted by the TIMETOACT GROUP.
Blog 6/22/23

Strategic Impact of Large Language Models

This blog discusses the rapid advancements in large language models, particularly highlighting the impact of OpenAI's GPT models.

Blog 6/27/23

Boosting speed of scikit-learn regression algorithms

The purpose of this blog post is to investigate the performance and prediction speed behavior of popular regression algorithms, i.e. models that predict numerical values based on a set of input variables.
Branche

Digitization of the energy industry

The energy sector is undergoing an unstoppable process of change. Progressive digitization and the energy transition are causing traditional system and process boundaries to disappear.
Referenz

Automated Planning of Transport Routes

Efficient transport route planning through automation and seamless integration.
News 12/12/24

JOIN(+) becomes part of TIMETOACT GROUP

TIMETOACT GROUP, a leading provider of IT services for the upper mid-sized-market companies, corporations and public institutions, is acquiring JOIN(+), an experienced consulting firm in the field of Big Data & AI.

Blog 8/10/23

Machine Learning Pipelines

In this first part, we explain the basics of machine learning pipelines and showcase what they could look like in simple form. Learn about the differences between software development and machine learning as well as which common problems you can tackle with them.

Bleiben Sie mit dem TIMETOACT GROUP Newsletter auf dem Laufenden!